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Author

Yanbin Wei

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Policy and World Modeling Co-Training for Language Agents

PaW is a Policy and World modeling co-training framework that adds auxiliary WM supervision to the same policy during RL, without changing the inference paradigm, and shows consistent improvements over strong RL baselines across models and RL algorithms.

Ning Lu, Baijiong Lin, Sheng-Cai Liu et al. · 12 citations · ⚡2

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